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Reference TypeConference Proceedings
Sitesibgrapi.sid.inpe.br
Identifier6qtX3pFwXQZeBBx/GKpLx
Repositorysid.inpe.br/banon/2005/07.13.18.55
Last Update2005:07.13.03.00.00 administrator
Metadatasid.inpe.br/banon/2005/07.13.18.55.30
Metadata Last Update2020:02.19.03.19.14 administrator
Citation KeyBustosKim:2005:ImMaEn
TitleReconstruction-diffusion: An improved maximum entropy reconstruction algorithm based on the robust anisotropic diffusion
FormatOn-line
Year2005
Date9-12 Oct. 2005
Access Date2020, Dec. 03
Number of Files1
Size194 KiB
Context area
Author1 Bustos, Harold Ivan Angulo
2 Kim, Hae Yong
Affiliation1 Universidade Federal do Rio Grande do Norte
2 Universidade de São Paulo
EditorRodrigues, Maria Andréia Formico
Frery, Alejandro César
e-Mail Addressharold@dca.ufrn.br; hae@lps.usp.br
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)
Conference LocationNatal
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
History2005-07-13 18:55:31 :: Harold -> banon ::
2005-07-13 19:31:27 :: banon -> Harold ::
2008-07-17 14:11:00 :: Harold -> banon ::
2008-08-26 15:17:02 :: banon -> administrator ::
2009-08-13 20:37:50 :: administrator -> banon ::
2010-08-28 20:01:18 :: banon -> administrator ::
2020-02-19 03:19:14 :: administrator -> :: 2005
Content and structure area
Is the master or a copy?is the master
Document Stagecompleted
Transferable1
Content TypeExternal Contribution
Tertiary TypeFull Paper
KeywordsMaximum Entropy, Robust Anisotropic Diffusion, Tomography.
AbstractMaximum entropy (MENT) is a well-known image reconstruction algorithm. If only a small amount of acquisition data is available, this algorithm converges to a noisy and blurry image. We propose an improvement to this algorithm that consists on applying alternately the MENT reconstruction and the robust anisotropic diffusion (RAD). We have tested this idea for the re-construction from full-angle parallel acquisition data, but the idea can be applied to any data acquisition sce-nario. The new technique has yielded surprisingly clear images with sharp edges even using extremely small amount of projection data.
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Languageen
Target Filebustosh_entropy.pdf
User GroupHarold
administrator
Visibilityshown
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Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group holdercode isbn issn label lineage mark mirrorrepository nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume

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